icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Irondale High | USHS-MN-W | 25 | 27 | 17 | 44 | 1.760 | 0.2827 | 0.2974 | — | — |
| 2011-12 | Irondale High | USHS-MN-W | 25 | 52 | 23 | 75 | 3.000 | 0.4818 | 0.4859 | — | — |
| 2012-13 | Irondale High | USHS-MN-W | 25 | 26 | 24 | 50 | 2.000 | 0.3212 | 0.3122 | — | — |
| 2013-14 | Irondale High | USHS-MN-W | 25 | 41 | 40 | 81 | 3.240 | 0.5203 | 0.4871 | — | — |
| 2017-18 | Connecticut Whale | PHF | 2 | 0 | 1 | 1 | 0.500 | — | — | — | — |
| 2018-19 | Connecticut Whale | PHF | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Minnesota Whitecaps | PHF | 6 | 1 | 0 | 1 | 0.167 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Brown | D1 | ECAC-W | — | 29 | 8 | 8 | 16 | 0.552 |
| 2016-17 | Brown | D1 | ECAC-W | — | 29 | 9 | 12 | 21 | 0.724 |
| 2015-16 | Brown | D1 | ECAC-W | — | 29 | 7 | 7 | 14 | 0.483 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.